Maseeh Faizan.
Finance & data science.
MSc Finance, HEC Lausanne. Building data-driven tools and research at the intersection of quantitative finance and machine learning. CFA Level I.
Selected work
2 projects
LEXPrevoyance
Swiss pension-law research assistant that answers with original legal sources, jurisprudence context, access controls, and owner review workflows.
SEC EDGAR Dashboard
Full-stack product for exploring S&P 500 financial statements, market data, and analytical views pulled directly from SEC filings. Built for investment research workflows.
Research
GitHub ↗Hobbies
GitHub ↗
MindFlow
Meditation and breathwork experience with guided pacing, ambient sound engine, and persistent progress tracking.
Project Desk
Personal project-and-task system that turns project ideas into grilled conversations, decomposed tasks, weekly plans, and review-backed memory.
File Format Tools
Upload a PDF or image, choose the output, and download a converted Word document or compressed image without stored files.
About
Rigorous analysis,
usable products.
I'm an associate at the ICRC Pension Fund, where I work on liability modeling, asset allocation research, and tooling for the investment committee.
My background is in finance, economics, and data science. Most of my work starts with a practical question: what is the clearest system we can build around a noisy dataset or an uncertain market problem?
That usually leads toward forecasting, structured research, and interfaces that make quantitative output easier to inspect and trust.